EPIC-TABSAT
EPIC-TABSAT analyzes targeted bisulfite sequencing (TBS) data and integrates results with array-based DNA methylation datasets to support epigenetic profiling and validation studies.
Key Features:
- Targeted Bisulfite Sequencing Analysis: Processes TBS datasets to compute DNA methylation levels across targeted genomic regions.
- Integration with Array-Based Methylation Data: Combines targeted sequencing results with chip-based DNA methylation datasets for comparative analysis.
- Quality Metric Calculation: Computes sequencing quality metrics as part of TBS data analysis.
- Methylation Calling: Performs methylation state determination from bisulfite sequencing reads.
- Parallel Processing of Targets: Analyzes multiple sequencing files and genomic targets concurrently.
- Epiallele Computation: Calculates target-specific epialleles for detailed methylation pattern analysis.
Scientific Applications:
- Epigenomic Profiling: Investigates DNA methylation patterns using targeted bisulfite sequencing data.
- Biomarker Validation: Validates epigenetic biomarkers identified in genome-wide methylation studies.
- Clinical Epigenetics Research: Supports studies of methylation-based diagnostic and prognostic biomarkers.
Methodology:
EPIC-TABSAT calculates sequencing quality metrics, performs methylation calling from targeted bisulfite sequencing reads, computes target-specific epialleles, and integrates TBS results with array-based methylation datasets.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R, Java, Perl, Python
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Krainer J, Weinhäusel A, Hanak K, Pulverer W, Özen S, Vierlinger K, Pabinger S. EPIC-TABSAT: analysis tool for targeted bisulfite sequencing experiments and array-based methylation studies. Nucleic Acids Research. 2019;47(W1):W166-W170. doi:10.1093/nar/gkz398. PMID:31106358. PMCID:PMC6602470.
DOI: 10.1093/NAR/GKZ398
PMID: 31106358
PMCID: PMC6602470
Funding: - E-Rare-3 program: 9003037603
- FWF Austrian Science: I 2742
Documentation
Links
Other
http://et.al